Pest monitoring and forecasting.

2012 ◽  
pp. 41-57 ◽  
Author(s):  
Y. G. Prasad ◽  
P Mathyam
Keyword(s):  
Pest Monitoring ◽  
Monitoring And Forecasting

scholarly journals Remote sensing and its application in agricultural pest management

2015 ◽  
Vol 16 ◽  
pp. 43-61 ◽  
Author(s):  
MC Acharya ◽  
RB Thapa
Keyword(s):  
Remote Sensing ◽  
Pest Management ◽  
Agricultural Production ◽  
Crop Production ◽  
Abiotic Factors ◽  
Developed Countries ◽  
Pest Monitoring ◽  
Main Emphasis ◽  
Monitoring And Forecasting ◽  
Living Organisms

Agricultural production is significantly affected by biotic- living organisms, such as predator, parasites, pathogens and abiotic factors, like temperature, humidity, rainfall etc. To manage the pests, monitoring and forecasting has been an integrated part of the crop production system in developed countries. In recent years, remote sensing has become popular in pest monitoring, yield forecasting, and early warning to crop growers for timely management of potential pests in agriculture. This paper highlights basic functioning of remote sensing and its application in agriculture with main emphasis on pest management.

Diagnostics of Track Infrastructure as Part of the Digitisation of Russian Railways

2020 ◽  
Vol 64 (188) ◽  
pp. 149-160
Author(s):  
Janusz Poliński
Keyword(s):  
Diagnostic Tools ◽  
Gradual Transition ◽  
Technical Diagnostics ◽  
Strategic Development ◽  
Railway Infrastructure ◽  
Monitoring And Forecasting ◽  
Infrastructure Maintenance ◽  
Result Analysis ◽  
Railway Maintenance ◽  
Condition Diagnosis

Technical diagnostics is an integral part of the railway maintenance process. Through timely maintenance, in addition to ensuring the safety, functional and technical reliability of the infrastructure, maintenance costs are reduced and downtime losses, due to failures or premature repair requests, are eliminated or reduced. The track infrastructure diagnostic tools have evolved. This is related to, among others, the miniaturisation of instruments, reading accuracy during motion, as well as upgraded measurement automation and result analysis. Currently, data obtained from multifunctional diagnostic tools is the basis for the developed Russian railway infrastructure maintenance and operation digital model. The strategic development of mobile diagnostic labs is the gradual transition to solutions with advanced digital analysis, supported by artificial intelligence, monitoring and forecasting. The article presents the development of mobile labs for the railroad infrastructure condition diagnosis up to the current solutions, in which measurements take place without human intervention and the obtained information is transmitted in real time to the analysis and decision centres. Keywords: rail transport, measuring wagons, digitisation of railways, Russian railways

IPM—A Problem-based Learning Approach

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 509e-509
Author(s):  
Robert P. Rice
Keyword(s):  
Pest Control ◽  
Test Performance ◽  
Management Strategies ◽  
Ornamental Plants ◽  
Real Life ◽  
Problem Based Learning ◽  
Control Measures ◽  
Learning Approach ◽  
Pest Monitoring ◽  
Use Of Resources

The Cal Poly philosophy of “Learn and Understand by Doing” has been integrated with problem-based learning and the use of the latest technology to produce a class that closely simulates real-life pest control situations. Goals of the class, Disease and Pest Control Systems for Ornamental Plants, are to teach students pest monitoring, control and problem solving techniques, the use of resources including the internet and journals, and the use of the latest pest control equipment and application techniques. Students are shown pest situations and then work in groups to diagnose the problem, investigate management strategies, apply control measures, and monitor results. Weekly class presentations inform the class of the various projects and help to teach the class organization and presentation skills. Student evaluations and test performance have demonstrated that students achieve class objectives substantially better with the problem-based learning approach than with the previous lecture-based approach to the class.

Monitoring and forecasting hazards from a slow growing lava dome using aerial imagery, tri-stereo Pleiades-1A/B imagery and PDC numerical simulation

2021 ◽  
Vol 564 ◽  
pp. 116906
Author(s):  
Yves Moussallam ◽  
Talfan Barnie ◽  
Álvaro Amigo ◽  
Karim Kelfoun ◽  
Felipe Flores ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Lava Dome ◽  
Aerial Imagery ◽  
Monitoring And Forecasting ◽  
Slow Growing

scholarly journals Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vinicius V. L. Albani ◽  
Roberto M. Velho ◽  
Jorge P. Zubelli
Keyword(s):  
New York ◽  
New York City ◽  
Census Data ◽  
Age Group ◽  
Age Classes ◽  
Basic Model ◽  
Monitoring And Forecasting ◽  
Group Sex ◽  
Age Range ◽  
Spatial Locations

AbstractWe propose a susceptible-exposed-infective-recovered-type (SEIR-type) meta-population model to simulate and monitor the (COVID-19) epidemic evolution. The basic model consists of seven categories, namely, susceptible (S), exposed (E), three infective classes, recovered (R), and deceased (D). We define these categories for n age and sex groups in m different spatial locations. Therefore, the resulting model contains all epidemiological classes for each age group, sex, and location. The mixing between them is accomplished by means of time-dependent infection rate matrices. The model is calibrated with the curve of daily new infections in New York City and its boroughs, including census data, and the proportions of infections, hospitalizations, and deaths for each age range. We finally obtain a model that matches the reported curves and predicts accurate infection information for different locations and age classes.

Sign in / Sign up

Export Citation Format

Share Document